AI & jobs · Country profile
New Zealand
36%
of jobs are in occupations exposed to generative AI. That's about 1M people.
MODEL16th of 183 most exposed
World 21%High income 35%
Key numbers
Workers in exposed jobsMODEL
1M
of 2.9M in work
Highest-exposure jobsMODEL
7.0%
202K people
People in workILO
2.9M
47% women
UnemploymentWORLD BANK
5.1%
2025
Youth unemploymentWORLD BANK
14.4%
ages 15–24
GDP per capitaWORLD BANK
$49,591
US$, 2025
Internet usersWORLD BANK
94%
of population
AI preparednessIMF
0.75
8th of 165
PopulationWORLD BANK
5.3M
Tertiary enrolmentWORLD BANK
77%
gross ratio
Vulnerable employmentWORLD BANK
13%
own-account & family workers
Urban populationWORLD BANK
84%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +17.4 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFNew ZealandHigh income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.75 (0–1 scale).
Exposure vs preparedness
New Zealand is highlighted. The other dots are all countries with both measures.
Sources: ILO modelled estimates 2025 · World Bank WDI · IMF AIPI · Anthropic Economic Index · Wikidata · Natural Earth. How the estimates are made.
Regions of New Zealand
- Auckland 38% exposed
- Canterbury 36% exposed
- Wellington 38% exposed
- Waikato 35% exposed
- Bay of Plenty 36% exposed
- Manawatū-Whanganui 36% exposed
- Otago 36% exposed
- Northland 34% exposed
- Hawke's Bay 36% exposed
- Taranaki 35% exposed
- Southland 35% exposed
- Tasman 31% exposed
- Gisborne 36% exposed
- Nelson 37% exposed
- Marlborough 36% exposed
- West Coast 35% exposed
- Auckland Islands 31% exposed
- Campbell Islands 31% exposed
- Antipodes Islands 31% exposed
- Kermadec Islands 31% exposed
- Chatham Islands 34% exposed
- Snares Islands 31% exposed
- Three Kings Islands 31% exposed
- Tokelau 31% exposed